Deep Learning-Based Automatic Detection Model for Ocean Eddy in SAR Images
1.School of Remote Sensing& Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao Marine Science and Technology Center, 266200, Qingdao, Shandong Province, China;
3. Innovation Center for Integrated Remote Sensing and Navigation Applications Engineering Technology, Ministry of Natural Resources, Nanjing, Jiangsu 210044, China;
4. Jiangsu Collaborative Innovation Center for Precision Navigation and Intelligent Application Engineering, Nanjing, Jiangsu 210044, China ;
5. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)
Received date: 2024-12-29
Revised date: 2025-02-18
Accepted date: 2025-02-26
Online published: 2025-02-26
Supported by
National
Key R&D Program of China (2022YFC3104900/2022YFC3104905), National Natural
Science Foundation of China (42176180)
Key words: Oceanic eddies; Synthetic Aperture Radar; Deep learning; YOLO; Object Detection
LIU Tailong XIE Tao LI Jian WANG Chao ZHANG Xuehong . Deep Learning-Based Automatic Detection Model for Ocean Eddy in SAR Images[J]. Journal of Tropical Oceanography, 0 : 1 . DOI: 10.11978/2024242
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